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15 days ago
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About OrumOrum’s AI-powered suite frees salespeople to do what they do best: connect, listen, and sell. Our products gives sales teams everything they need to connect faster, sell smarter, and grow revenue. From intelligent dialing and real-time conversation insights to AI-driven coaching and virtual sales floors, Orum is powering thousands of sales teams to have more meaningful conversations and turn every call into measurable impact. Companies who use Orum connect 5x faster and book millions in new pipeline every month.As a company, we are a remote-first team of builders and dreamers creating a future where work feels more meaningful and connected. If you’re excited to change how the world sells, join us. For more information, visit https://www.orum.com/The RoleOrum's Product Team plays a pivotal role in driving this vision forward. We're tackling some of the toughest challenges sales teams face, and there’s still so much to build. Notably, Orum sits on database of over 1B outbound phone calls, and our vision involves capitalizing on that data to produce better outcomes, whether that’s using predictive analytics to improve call outcomes, leveraging data into actionable agentic coaching, or building a data agent that uses all available sources to give reps highly targeted, highly accurate lead lists. In this role, you’ll work with a team of AI/ML and Data focused engineers to drive the AI and Data-powered vision of the product.What you’ll do:We are looking for a Founding Staff Product Manager, Data & ML to own the vision for Orum's data product strategy. This person will serve as the product leader for the data pillar, identifying opportunities to turn data and machine learning into meaningful customer value. Some of your responsibilities include:Own and define the roadmap for Orum's data productsRapidly prototype models on messy behavioral datasets and translate data signals into user-facing product featuresIdentify and define new product opportunities driven by dataPartner closely with Engineering to bring ideas into productionInform other products’ roadmaps by generating killer insights from Orum’s dataWhat we're looking for:Proven experience shipping user-facing ML productsExperience taking ML products from prototype to production in a fast-paced product environmentStrong background building ML-driven or data-oriented productsDeep technical foundation in software engineering or data scienceStrong analytical and experimental mindset, including experience designing, running, and interpreting experimentsExperience operating in fast-paced startup environmentsBonus if you have:Experience building agentic tools0-1 founding experienceOrum takes a market-based approach to compensation, offering equity and a base salary as part of the compensation package. The estimated base salary range for this role is TBD per year. Exact compensation may differ from this range and depends on the candidate’s experience, domain expertise, and interview performance.Company ValuesExcellence - Deliver high-quality work across every functionNo Jerks - Build a team that's respectful, inclusive, and collaborativeAccountability - Own outcomes and follow throughIntegrity - Always act honestly with customers, partners, and each otherStewardship - Manage our resources responsibility for sustainable growthGreat Ideas Win - Innovation thrives when the best ideas lead, no matter where they come fromBenefits and Perks (FTE)🧳 Flexibility to work anywhere in the US🌴 Flexible Vacation Policy📅 30+ paid holidays annually, including observed holidays, the first Friday of every month off and a two-week year-end holiday break.📈 Meaningful stock options in Orum🏥 90% coverage for employees and dependents for healthcare, dental, and vision insurance plans🛟 Comprehensive Life & Disability package👶 Parental leave for the primary or the secondary🖥️ $1k equipment reimbursement for work-related items that's yours to keep✈️ Company retreats and meetups for all employees to connect in person👭 Company ERG - Women Of Orum (WOO)Orum Is An Equal Opportunity EmployerWe're committed to continually adding to our diverse team that represents various backgrounds, perspectives, and skills. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation
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